loss.mean()
时间: 2023-12-13 08:04:18 浏览: 72
loss.mean()是计算损失的平均值。在给定的代码示例中,loss.mean()被用于计算KL散度损失(KL Divergence Loss)和交叉熵损失(Cross Entropy Loss)的平均值。具体来说,在KL散度损失的示例中,通过使用nn.KLDivLoss(reduction='mean')定义的损失函数,可以使用loss_mean = loss_f_mean(inputs, target)计算出损失的平均值。在交叉熵损失的示例中,通过使用nn.CrossEntropyLoss(weight=None, reduction='mean')定义的损失函数,同样可以使用loss_mean = loss_f_mean(inputs, target)计算出损失的平均值。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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